UF0MC-IOTA Based Cognitive Radio Transceiver

Dayana, R.; Malarvezhi, P.; Vadivukkarasi, K.; Kumar, Rajender

doi:10.1007/s11277-020-07467-z

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…Orthogonal Frequency Division is a technique for dividing frequencies that are orthogonal to Although the multiplexing technique has established itself as the dominant modulation scheme in the fourth generation of broadband systems, some of its shortcomings have prompted the research community to consider other possible alternatives that could improve overall performance in the next generation [5][6]. Inter-carrier interference should be avoided by spacing the sub-carriers evenly.…”

Section: Figure 1 Evolution Of Mobile Networkmentioning

confidence: 99%

5G Wireless/Wired Convergence of UFMC Based Modulation for Intensity Modulation Direct Detection

Keerthivasan¹,

Shibu²

2021

Advances in Parallel Computing

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Faster data speeds, shorter end-to-end latencies, improved end-user service efficiency, and a wider range of multi-media applications are expected with the new 5G wireless services. The dramatic increase in the number of base stations required to meet these criteria, which undermines the low-cost constraints imposed by operators, demonstrates the need for a paradigm shift in modern network architecture. Alternative formats will be required for next-generation architectures, where simplicity is the primary goal. The number of connections is expected to increase rapidly, breaking the inherent complexity of traditional coherent solutions and lowering the resulting cost percentage. A novel implementation model is used to migrate complex-nature modulation structures in a highly efficient and cost-effective manner. Theoretical work to analyses modulations’ behavior over a wired/fiber setup and wireless mode is also provided. The state-of-the-art computational complexity, simplicity, and ease of execution while maintaining efficiency throughput and bit error rate.

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Section: Figure 1 Evolution Of Mobile Networkmentioning

confidence: 99%